Ryo Hayakawa

• October 31-November 3, 2023
  We gave a presentation at APSIPA ASC 2023.
  S. Furusawa, K.Hayashi, K, Kameda, and R. Hayakawa, "Numerical performance evaluation of L_1-L_2 sparse reconstruction using optical analog circuit"
• September 9, 2023
  My paper has been accepted for publication in APSIPA Transactions on Signal and Information Processing.
  R. Hayakawa, "Noise variance estimation using asymptotic residual in compressed sensing"

Preprint

1. R. Hayakawa, "Error prediction of Douglas-Rachford algorithm for linear inverse problems: Asymptotics of proximity operator for squared loss," arXiv.2103.10300. (arXiv)

Journal Paper (peer reviewed)

1. R. Hayakawa,
   "Noise variance estimation using asymptotic residual in compressed sensing,"
   APSIPA Transactions on Signal and Information Processing, vol. 12, no. 1, e46, Nov. 2023.
2. R. Hayakawa,
   "Asymptotic performance prediction for ADMM-based compressed sensing,"
   IEEE Transactions on Signal Processing, vol. 70, pp. 5194-5207, 2022.
   (arXiv, Python code)
3. R. Hayakawa, A. Nakai-Kasai, and K. Hayashi,
   "Discreteness and group sparsity aware detection for uplink overloaded MU-MIMO systems,"
   APSIPA Transactions on Signal and Information Processing, vol. 9, e21, 2020.
   (Open Access)
4. R. Hayakawa and K. Hayashi,
   "Asymptotic performance of discrete-valued vector reconstruction via box-constrained optimization with sum of l₁ regularizers,"
   IEEE Transactions on Signal Processing, vol. 68, pp. 4320-4335, Aug. 2020.
   ( PDF (accepted article), MATLAB code)
5. S. Takabe, M. Imanishi, T. Wadayama, R. Hayakawa, and K. Hayashi,
   "Trainable projected gradient detector for massive overloaded MIMO channels: Data-driven tuning approach,"
   IEEE Access, vol. 7, pp. 93326-93338, Jul. 2019.
   (Open Access)
6. R. Hayakawa and K. Hayashi,
   "Reconstruction of complex discrete-valued vector via convex optimization with sparse regularizers,"
   IEEE Access, vol. 6, pp. 66499-66512, Dec. 2018. [IEEE Kansai Section Student Paper Award]
   (Open Access, MATLAB code)
7. R. Hayakawa and K. Hayashi,
   "Discreteness-aware approximate message passing for discrete-valued vector reconstruction,"
   IEEE Transactions on Signal Processing, vol. 66, no. 24, pp. 6443-6457, Dec. 2018.
   ( PDF (accepted article), MATLAB code)
8. R. Hayakawa and K. Hayashi,
   "Discreteness-aware decoding for overloaded non-orthogonal STBCs via convex optimization,"
   IEEE Communications Letters, vol. 22, no. 10, pp. 2080-2083, Oct. 2018.
   ( PDF (accepted article))
9. R. Hayakawa and K. Hayashi,
   "Error recovery for massive MIMO signal detection via reconstruction of discrete-valued sparse vector,"
   IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E100-A, no. 12, pp. 2671-2679, Dec. 2017.
   ( PDF, © 2017 IEICE)
10. R. Hayakawa and K. Hayashi,
    "Convex optimization-based signal detection for massive overloaded MIMO systems,"
    IEEE Transactions on Wireless Communications, vol. 16, no. 11, pp. 7080-7091, Nov. 2017. [The 33rd Telecom System Technology Student Award]
    ( PDF (accepted article), MATLAB code)
11. R. Hayakawa, K. Hayashi, and M. Kaneko,
    "Lattice reduction-aided detection for overloaded MIMO using slab decoding,"
    IEICE Transactions on Communications, vol. E99-B, no. 8, pp. 1697-1705, Aug. 2016.
    ( PDF, © 2016 IEICE)
12. K. Matsuoka, Y. Yushima, R. Hayakawa, R. Kawasaki, K. Hayashi, and M. Kaneko,
    "An RFID tag identification protocol via boolean compressed sensing,"
    IEICE Communications Express, vol. 5, no. 5, pp. 118-123, May 2016.
    ( PDF, © 2016 IEICE)

International Conference (peer reviewed)

1. S. Furusawa, K. Hayashi, K. Kameda, and R. Hayakawa,
   "Numerical Performance Evaluation of L_1-L_2 Sparse Reconstruction Using Optical Analog Circuit,"
   in Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2023, Taipei, Taiwan, Oct.-Nov. 2023.
2. K. Kameda, R. Hayakawa, K. Hayashi, and Y. Iiguni,
   "Performance evaluation of FISTA with constant inertial parameter,"
   in Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2022, Chiang Mai, Thailand, Nov. 2022.
   ( PDF)
3. K. Hayashi, A. Nakai-Kasai, A. Hirayama, H. Honda, T. Sasaki, H. Yasukawa, and R. Hayakawa,
   "An overloaded IoT signal detection method using non-convex sparse regularizers,"
   in Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2020, virtual conference, Dec. 2020.
   ( PDF)
4. K. Hayashi, A. Nakai-Kasai, and R. Hayakawa,
   "An overloaded SC-CP IoT signal detection method via sparse complex discrete-valued vector reconstruction,"
   in Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2019, Lanzhou, China, Nov. 2019. [Best Special Session Paper Nomination Award]
   ( PDF)
5. R. Hayakawa and K. Hayashi,
   "Discrete-valued vector reconstruction by optimization with sum of sparse regularizers,"
   in Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2019), A Coruña, Spain, Sept. 2019.
   ( PDF, poster, MATLAB code)
6. R. Hayakawa and K. Hayashi,
   "Performance analysis of discrete-valued vector reconstruction based on box-constrained sum of L1 regularizers,"
   in Proceedings of the 44th IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, May 2019.
   ( PDF, slide)
7. K. Hayashi, A. Nakai, R. Hayakawa, and S. Ha,
   "Uplink overloaded MU-MIMO OFDM signal detection methods using convex optimization,"

   in Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2018, Honolulu, USA, Nov. 2018.

   ( PDF)
8. R. Hayakawa, A. Nakai, and K. Hayashi,
   "Distributed approximate message passing with summation propagation,"
   in Proceedings of the 43rd IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP 2018), Calgary, Canada, Apr. 2018.
   ( PDF, slide)
9. R. Hayakawa and K. Hayashi,
   "Binary vector reconstruction via discreteness-aware approximate message passing,"
   in Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2017, Kuala Lumpur, Malaysia, Dec. 2017.
   ( PDF, slide)
10. R. Hayakawa and K. Hayashi,
    "Discreteness-aware AMP for reconstruction of symmetrically distributed discrete variables,"
    in Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2017), Sapporo, Japan, Jul. 2017.
    ( PDF, poster)
11. R. Hayakawa and K. Hayashi,
    "Error recovery with relaxed MAP estimation for massive MIMO signal detection,"
    in Proceedings of the International Symposium on Information Theory and Its Applications (ISITA) 2016, pp. 483-487, California, USA, Oct.-Nov. 2016.
    ( PDF, slide)
12. R. Hayakawa, K. Hayashi, H. Sasahara, and M. Nagahara,
    "Massive overloaded MIMO signal detection via convex optimization with proximal splitting,"
    in Proceedings of the 24th European Signal Processing Conference (EUSIPCO 2016), pp. 1383-1387, Budapest, Hungary, Aug.-Sept. 2016.
    ( PDF, poster)
13. R. Hayakawa, K. Hayashi, and M. Kaneko,
    "An overloaded MIMO signal detection scheme with slab decoding and lattice reduction,"
    in Proceedings of the 21st Asia-Pacific Conference on Communications (APCC 2015), pp. 42-46, Kyoto, Japan, Oct. 2015.
    ( PDF)

Doctoral Dissertation

1. R. Hayakawa,
   "Studies on discrete-valued vector reconstruction from underdetermined linear measurements,"
   Doctoral Dissertation, Kyoto University, Mar. 2020.

Others

1. K. Hayashi and R. Hayakawa,
   "Overloaded signal detection for communications systems via compressed sensing technique, "
   the 59th IEEE Conference on Decision and Control (CDC) Workshop, virtual conference, Dec. 2020.